TAKEOFF FALL 2026 · IT / TECHNOLOGY

c3 Community Partners DAO

Measures Registry presents an assessment service for the operating conditions around AI, including authority, review, accountability, and stability. Its stated strength is governance of the environment in which AI is used.

Open c3 Community Partners DAO workspace ↗Visit business source ↗Download free package ↓

A public strength profile and free toolkit from a fellow founder. This is an independent contribution, not a website operated by c3 Community Partners DAO.

A possible path through the work

PROPOSED FLOW

01Request
02Define
03Review
04Deliver
05Verify

These stages are a starting point for owner review. The interactive workspace includes a rotatable 3D view of this proposed flow.

Three questions worth exploring

PUBLIC RESEARCH

These are hypotheses to discuss, with current baselines unmeasured. They do not establish that a problem or loss occurs in this business.

01OWNER INPUT NEEDED

Could evidence collection for an assessment be easier to complete and trace?

A local evidence register with source URL/file reference, observation date, owner, and unresolved question for each assessment item.

What we could measure together

Measure: Assessment items missing a source or accountable owner (percent of items).

Start with 10 consecutive eligible tasks, or all tasks in one week; retain exceptions and record the sample size.

Acceptance boundary: A reviewer confirms completeness; missing evidence stays unknown and is never filled with generated facts.

02OWNER INPUT NEEDED

Can changes to authority or review responsibilities be detected without repeating the whole assessment?

Diff two owner-approved responsibility registers and show changed fields with before/after values and an affected-review checklist.

What we could measure together

Measure: Reviewer time to classify a recorded operational change (minutes/change).

Start with 10 consecutive eligible tasks, or all tasks in one week; retain exceptions and record the sample size.

Acceptance boundary: No automatic policy changes, permission grants, or assurance claims; a named owner decides materiality.

03OWNER INPUT NEEDED

Could two reviewers reach more consistent decisions using the same assessment rubric?

A blinded rubric comparison sheet that preserves both decisions, reasons, and adjudication; optional AI drafts a neutral discrepancy summary.

What we could measure together

Measure: Disagreement rate on a shared sample (percent of items).

Start with 10 consecutive eligible tasks, or all tasks in one week; retain exceptions and record the sample size.

Acceptance boundary: No invented scoring validity; preserve disagreements rather than forcing agreement or averaging incompatible judgments.

Your free Luma toolkit

PORTABLE PACKAGE

Make work easier to follow

Use a workboard, acceptance criteria, revision fingerprints and measurement records to define the next useful step.

Prepare and explore

Grant Factory drafts from supplied facts, a public opportunity scout, and fictional-money paper trading tools are included.

Coordinate and learn

LumaCare supports nonclinical coordination practice. Optional AI drafting uses the member's own API account and credits.

Get your package and setup instructions Plan a measurement ↗

The public workspace stores work in your browser. The downloaded Python app adds local backups and optional hourly public-source scout and paper jobs while it stays open. No shared team accounts, clinical deployment, grant submission or live trading are included.

Public sources and corrections

The strength description and questions come from the reviewed public research below. Owner corrections and actual operating records should guide any next experiment.

Read the complete cohort research ↗